Autonomy Software Engineer

Universal Vat Services, Inc.

Los Angeles, CA, United States

1 day ago

Apply on www.thejobnetwork.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$160,000.0 - $230,000.0

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

Computer Vision C++ (Programming Language) Nvidia CUDA Computer Programming Software Debugging Linux Python (Programming Language) Motion Planning Object Detection OpenCV Tensorflow Sensor Fusion

+7 more

Software Deployment Robot Operating System Pytorch Deep Learning Git Information Technology Docker

Job description

Design and implement the complete autonomy stack from the ground up - covering mission planning, path planning, object detection/recognition, obstacle avoidance, and autonomous decision-making for underwater operations.
Develop both ML-based and classical perception pipelines optimized for power-constrained embedded compute (Nvidia Jetson Orin AGX).
Drive the vehicle from prototype to executing multi-day autonomous missions within your first 90 days.
Support field testing - deploying scale models in dive pools, running ocean sea trials, and performing live telemetry debugging from shore.
Own your systems end-to-end as a Responsible Engineer: from requirements and architecture through simulation, field validation, and production deployment.

Requirements

5+ years of experience shipping autonomy or perception software on physical autonomous vehicles, UAVs, or robotic platforms.
Hands-on experience building an autonomy system from scratch (0-to-1), not inheriting a mature codebase.
Strong ML/deep learning skills for perception - object detection, tracking, and classification.
Proficiency in CUDA programming for GPU-accelerated perception and ML on embedded platforms (e.g., Nvidia Jetson).
Experience with path planning, sensor fusion, state estimation, or classical computer vision.
Solid command of C++, Python, ROS, PyTorch or TensorFlow, OpenCV, Linux, Git, and Docker.
Background in simulation workflows (SIL/HIL) and containerized deployment.
BS or higher in Computer Science, Robotics, Electrical Engineering, or a related technical field; strong academic fundamentals are a plus.
Prior experience at a fast-paced autonomy or defense-tech startup is a strong plus.
Comfortable working in the defense sector on weapons systems.
U.S. citizen or permanent resident eligible for a security clearance.